TY - GEN
T1 - Error model development for ARAIM exploiting satellite motion
AU - Gallon, Elisa
AU - Joerger, Mathieu
AU - Perea, Santiago
AU - Pervan, Boris
N1 - Funding Information:
The authors would like to thank the Federal Aviation Administration (FAA) for their support of this research. However, the opinions in this paper are our own and do not necessarily represent those of any other person or organization.
Funding Information:
Dr. Mathieu Joerger obtained a Master in Mechatronics from the National Institute of Applied Sciences in Strasbourg, France, in 2002. He earned a M.S. in 2002 and a Ph.D. in 2009 in Mechanical and Aerospace Engineering at IIT in Chicago. He is the 2009 recipient of the Institute of Navigation (ION) Bradford Parkinson award, and the 2014 recipient of the ION Early Achievement Award. He is also an Associate Editor of Navigation for the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Aerospace and Electronic Systems. Dr. Joerger is currently assistant professor at Virginia Tech, in Blacksburg, VA, working on multi-sensor integration for safe navigation and collision warning of automated driving systems (ADS). He is a member of the E.U./U.S. Advanced RAIM (ARAIM) Working Group C.
Funding Information:
Dr. Boris Pervan is a Professor of Mechanical and Aerospace Engineering at IIT, where he conducts research on advanced navigation systems. Prior to joining the faculty at IIT, he was a spacecraft mission analyst at Hughes Aircraft Company (now Boeing) and a postdoctoral research associate at Stanford University. Prof. Pervan received his B.S. from the University of Notre Dame, M.S. from the California Institute of Technology, and Ph.D. from Stanford University. He is an Associate Fellow of the AIAA, a Fellow of the Institute of Navigation (ION), and Editor-in-Chief of the ION journal NAVIGATION. He was the recipient of the IIT Sigma Xi Excellence in University Research Award (2011, 2002), Ralph Barnett Mechanical and Aerospace Dept. Outstanding Teaching Award (2009, 2002), Mechanical and Aerospace Dept. Excellence in Research Award (2007), University Excellence in Teaching Award (2005), IEEE Aerospace and Electronic Systems Society M. Barry Carlton Award (1999), RTCA William E. Jackson Award (1996), Guggenheim Fellowship (Caltech 1987), and Albert J. Zahm Prize in Aeronautics (Notre Dame 1986).
Publisher Copyright:
© 2019, Institute of Navigation.
PY - 2019
Y1 - 2019
N2 - In this paper, we derive new satellite orbit and clock error models for time sequential, dual frequency, multi-constellation Advanced Receiver Autonomous Integrity Monitoring (ARAIM). In the current implementation of baseline 'snapshot' ARAIM, Carrier Smoothed Code (CSC) measurements at one instant in time are used to provide a navigation solution. Using a time-sequential implementation of ARAIM, i.e., using measurements collected over time, will significantly reduce Protection Levels (PL). It was shown in [3] that snapshot ARAIM cannot provide better performance than LPV-200, which has a 35 m Alert Limit (AL). Exploiting satellite motion will lead to superior positioning performance and significantly tighter PLs relative to baseline snapshot ARAIM, possibly even achieving 10 m ALs to support Category II aircraft approaches. In order to implement this time sequential approach, orbit and clock errors need to be characterized over time. In this paper, we process GPS and Galileo orbit and clock data to evaluate and analyze ranging errors over time. We then determine upper and lower bounds on ranging errors autocorrelation functions. These bounds will be implemented to over-bound time-sequential positioning errors.
AB - In this paper, we derive new satellite orbit and clock error models for time sequential, dual frequency, multi-constellation Advanced Receiver Autonomous Integrity Monitoring (ARAIM). In the current implementation of baseline 'snapshot' ARAIM, Carrier Smoothed Code (CSC) measurements at one instant in time are used to provide a navigation solution. Using a time-sequential implementation of ARAIM, i.e., using measurements collected over time, will significantly reduce Protection Levels (PL). It was shown in [3] that snapshot ARAIM cannot provide better performance than LPV-200, which has a 35 m Alert Limit (AL). Exploiting satellite motion will lead to superior positioning performance and significantly tighter PLs relative to baseline snapshot ARAIM, possibly even achieving 10 m ALs to support Category II aircraft approaches. In order to implement this time sequential approach, orbit and clock errors need to be characterized over time. In this paper, we process GPS and Galileo orbit and clock data to evaluate and analyze ranging errors over time. We then determine upper and lower bounds on ranging errors autocorrelation functions. These bounds will be implemented to over-bound time-sequential positioning errors.
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U2 - 10.33012/2019.17019
DO - 10.33012/2019.17019
M3 - Conference contribution
AN - SCOPUS:85075266875
T3 - Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2019
SP - 3162
EP - 3174
BT - Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2019
PB - Institute of Navigation
T2 - 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2019
Y2 - 16 September 2019 through 20 September 2019
ER -